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                <div id="site-name"><a href="../../sphinx_pages/build/html/index.html">Shark machine learning library</a></div>
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<div class="textblock">Here is a list of all functions with links to the classes they belong to:</div>

<h3><a id="index_e" name="index_e"></a>- e -</h3><ul>
<li>eigenvalue()&#160;:&#160;<a class="el" href="classshark_1_1_p_c_a.html#a495d0d796ea14d28c6b56643c271ed9b">shark::PCA</a></li>
<li>eigenValues()&#160;:&#160;<a class="el" href="classshark_1_1_c_m_a.html#a6735aa83880d1be9675f24dea483f665">shark::CMA</a>, <a class="el" href="classshark_1_1_c_m_s_a.html#a2639d04da06486ed64bd2d25f6314f50">shark::CMSA</a>, <a class="el" href="classshark_1_1_multi_variate_normal_distribution.html#a304ff217e3a7ad935387e7a92b67546e">shark::MultiVariateNormalDistribution</a></li>
<li>eigenvalues()&#160;:&#160;<a class="el" href="classshark_1_1_p_c_a.html#a8a377bad66488acb59ab44a3c7ee21ea">shark::PCA</a></li>
<li>eigenVectors()&#160;:&#160;<a class="el" href="classshark_1_1_c_m_a.html#a258efdafafccec607bd09eaebd9955cc">shark::CMA</a>, <a class="el" href="classshark_1_1_multi_variate_normal_distribution.html#aa1a79af05867366d0ca300825a29a87a">shark::MultiVariateNormalDistribution</a></li>
<li>eigenvectors()&#160;:&#160;<a class="el" href="classshark_1_1_p_c_a.html#a0ef11fb10a4914cf2a60da03512a4230">shark::PCA</a></li>
<li>element()&#160;:&#160;<a class="el" href="group__shark__globals.html#ga0ea72a74a21d5ff59772516b83c4a58b">shark::Data&lt; Type &gt;</a>, <a class="el" href="group__shark__globals.html#gaec57b5f22b3e8d2d67ad4b621f30fd54">shark::LabeledData&lt; InputT, LabelT &gt;</a></li>
<li>elements()&#160;:&#160;<a class="el" href="group__shark__globals.html#gad9b0233e3adc882ed94f418f80767b09">shark::Data&lt; Type &gt;</a>, <a class="el" href="group__shark__globals.html#ga63e2615845814fee2e8b5773a9d4048f">shark::LabeledData&lt; InputT, LabelT &gt;</a></li>
<li>ElitistCMA()&#160;:&#160;<a class="el" href="classshark_1_1_elitist_c_m_a.html#a10540d49901609329608c4dfa5d13361">shark::ElitistCMA</a></li>
<li>ELLI1()&#160;:&#160;<a class="el" href="structshark_1_1benchmarks_1_1_e_l_l_i1.html#a5fe3516d39d0bcf4ff94b68f649812fa">shark::benchmarks::ELLI1</a></li>
<li>ELLI2()&#160;:&#160;<a class="el" href="structshark_1_1benchmarks_1_1_e_l_l_i2.html#ae8dec8fa3a632a623ef2a8d36426ddfb">shark::benchmarks::ELLI2</a></li>
<li>Ellipsoid()&#160;:&#160;<a class="el" href="structshark_1_1benchmarks_1_1_ellipsoid.html#ae2b45e4886ff78b24cfc045d9debf4dd">shark::benchmarks::Ellipsoid</a></li>
<li>empty()&#160;:&#160;<a class="el" href="group__shark__globals.html#ga372d43fb769e6ccffdb699e5e2abe5b5">shark::Data&lt; Type &gt;</a>, <a class="el" href="group__shark__globals.html#ga30ea533b248897b6d97bc1d62293e362">shark::LabeledData&lt; InputT, LabelT &gt;</a></li>
<li>enableModelOptimization()&#160;:&#160;<a class="el" href="classshark_1_1_concatenated_model.html#a8b8e20196b327ba37eaedab541a620ae">shark::ConcatenatedModel&lt; VectorType &gt;</a></li>
<li>encoder()&#160;:&#160;<a class="el" href="classshark_1_1_p_c_a.html#a58785ce7beacbbb5b38ee50baab18430">shark::PCA</a></li>
<li>end()&#160;:&#160;<a class="el" href="structshark_1_1_batch_3_01shark_1_1blas_1_1compressed__vector_3_01_t_01_4_01_4.html#a3340fbee83054604e4198016d971bfd3">shark::Batch&lt; shark::blas::compressed_vector&lt; T &gt; &gt;</a>, <a class="el" href="classshark_1_1_data_view.html#a238dbacc7eded17835f90c6edccdcb95">shark::DataView&lt; DatasetType &gt;</a>, <a class="el" href="classshark_1_1_evaluation_archive.html#a646236f2eeab8950ce45a354fba75e90">shark::EvaluationArchive&lt; PointType, ResultT &gt;</a>, <a class="el" href="classshark_1_1statistics_1_1_result_table.html#a25e1a3791ce867ca83ff84fa324bbf45">shark::statistics::ResultTable&lt; Parameter &gt;</a>, <a class="el" href="structshark_1_1statistics_1_1_statistics.html#afd31ad8b93c0bd7b061a21459eec9b61">shark::statistics::Statistics&lt; Parameter &gt;</a>, <a class="el" href="structshark_1_1_weighted_data_batch.html#a3d52a8bba398c542b279eff348e767ca">shark::WeightedDataBatch&lt; DataBatchType, WeightBatchType &gt;</a></li>
<li>energy()&#160;:&#160;<a class="el" href="structshark_1_1_energy.html#aa07edf12f92820285d1b51495cdafb35">shark::Energy&lt; RBM &gt;</a></li>
<li>Energy()&#160;:&#160;<a class="el" href="structshark_1_1_energy.html#a18af216e713128efcd3b7dbfbd38ec5d">shark::Energy&lt; RBM &gt;</a></li>
<li>energy()&#160;:&#160;<a class="el" href="classshark_1_1_r_b_m.html#a8fb50f496bfd20e8a3e1cd9573b82ce2">shark::RBM&lt; VisibleLayerT, HiddenLayerT, randomT &gt;</a></li>
<li>energyFromHiddenInput()&#160;:&#160;<a class="el" href="structshark_1_1_energy.html#a25ad87baa9a3500ea7b3af9a4effc933">shark::Energy&lt; RBM &gt;</a></li>
<li>energyFromVisibleInput()&#160;:&#160;<a class="el" href="structshark_1_1_energy.html#a9f124cd4e0a4efa781ab34ab246fca81">shark::Energy&lt; RBM &gt;</a></li>
<li>EnergyStoringTemperedMarkovChain()&#160;:&#160;<a class="el" href="classshark_1_1_energy_storing_tempered_markov_chain.html#ae7a05f61a5585d9bdd366123a231b96d">shark::EnergyStoringTemperedMarkovChain&lt; Operator &gt;</a></li>
<li>energyTerm()&#160;:&#160;<a class="el" href="classshark_1_1_binary_layer.html#af82b2905a7c8fd6d47505a8c67c1c9bf">shark::BinaryLayer</a>, <a class="el" href="classshark_1_1_bipolar_layer.html#aa11e94401fb25c02f251838008d33eed">shark::BipolarLayer</a>, <a class="el" href="classshark_1_1_gaussian_layer.html#ae920fde3c4ed485452214e90dabbadd4">shark::GaussianLayer</a></li>
<li>entry()&#160;:&#160;<a class="el" href="classshark_1_1_block_matrix2x2.html#a446a4eedb1e3fc6f0d72aa921da39e9a">shark::BlockMatrix2x2&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_cached_matrix.html#a00453296e3eca46e834420e3d20a6d6f">shark::CachedMatrix&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_difference_kernel_matrix.html#ab999126ee7b40e3c33a05a38d685d81a">shark::DifferenceKernelMatrix&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_example_modified_kernel_matrix.html#a0138d4fa7cfe2cb0d5228581be209e59">shark::ExampleModifiedKernelMatrix&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_gaussian_kernel_matrix.html#aa9a70aae17d2b5de64916c62a4637f9f">shark::GaussianKernelMatrix&lt; T, CacheType &gt;</a>, <a class="el" href="classshark_1_1_kernel_matrix.html#ac3cfe068368969d7cdc5a84e64edf416">shark::KernelMatrix&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_modified_kernel_matrix.html#abbcd6324a464fa5c73abe0608ba5811d">shark::ModifiedKernelMatrix&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_partly_precomputed_matrix.html#ad2997ebc625fd707aefc9798af295720">shark::PartlyPrecomputedMatrix&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_precomputed_matrix.html#affc89e5345755891cb4351a6727635cb">shark::PrecomputedMatrix&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_regularized_kernel_matrix.html#aaef24efda3b1d8bff9a9e23c58985694">shark::RegularizedKernelMatrix&lt; InputType, CacheType &gt;</a></li>
<li>epochs()&#160;:&#160;<a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a512de58a73a790ce3159452b73c1f892">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_kernel_s_g_d_trainer.html#ae7b9d884f5389bad153a8d9780cd494f">shark::KernelSGDTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_linear_s_a_g_trainer.html#a1e95ff06c2b294528f1d2ef394943142">shark::LinearSAGTrainer&lt; InputType, LabelType &gt;</a></li>
<li>epsilon()&#160;:&#160;<a class="el" href="classshark_1_1_adam.html#a84ea9e08b7ed6e18a23e706ba63441ff">shark::Adam&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_epsilon_svm_trainer.html#a6cca95658d21c729fe2ccce525852756">shark::EpsilonSvmTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="structshark_1_1_hypervolume_approximator.html#a87334159cdfae43c729c8dd02b738f1c">shark::HypervolumeApproximator</a>, <a class="el" href="structshark_1_1_hypervolume_contribution_approximator.html#aaa63c8502accc68b992534217eb32169">shark::HypervolumeContributionApproximator</a>, <a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html#a15b07750636e93b6caf5ce721226a0c5">shark::RFTrainer&lt; RealVector &gt;</a>, <a class="el" href="classshark_1_1_r_f_trainer_3_01unsigned_01int_01_4.html#a256c970e32f9064ce73cef2a658d0b87">shark::RFTrainer&lt; unsigned int &gt;</a></li>
<li>EpsilonHingeLoss()&#160;:&#160;<a class="el" href="classshark_1_1_epsilon_hinge_loss.html#a9d0a81d2b579576e7fd92b7aa5e1ba3f">shark::EpsilonHingeLoss</a></li>
<li>EpsilonSvmTrainer()&#160;:&#160;<a class="el" href="classshark_1_1_epsilon_svm_trainer.html#a3854918319188d0e3dc58d594bf8bdb7">shark::EpsilonSvmTrainer&lt; InputType, CacheType &gt;</a></li>
<li>equalErrorRate()&#160;:&#160;<a class="el" href="classshark_1_1_r_o_c.html#ab6ac16568d496fa8875d10b2ff602040">shark::ROC</a></li>
<li>ErrorFunction()&#160;:&#160;<a class="el" href="classshark_1_1_error_function.html#aa240c92f5dbf5a5ccdc245843a81a0e6">shark::ErrorFunction&lt; SearchPointType &gt;</a></li>
<li>eta()&#160;:&#160;<a class="el" href="classshark_1_1_adam.html#a33cc65bf96984af7cce5788520ccad61">shark::Adam&lt; SearchPointType &gt;</a></li>
<li>eval()&#160;:&#160;<a class="el" href="classshark_1_1_absolute_loss.html#a0d53dd678d58b2cb3a213cdc829937da">shark::AbsoluteLoss&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_abstract_cost.html#ab59cf559ad6f04d07752ffdcda155723">shark::AbstractCost&lt; LabelT, OutputT &gt;</a>, <a class="el" href="classshark_1_1_abstract_kernel_function.html#abd10e3815efade90c7f9e2a7cc8bcb6c">shark::AbstractKernelFunction&lt; InputTypeT &gt;</a>, <a class="el" href="classshark_1_1_abstract_loss.html#a26f69483e0f62462bbc45e2734f65a4b">shark::AbstractLoss&lt; LabelT, OutputT &gt;</a>, <a class="el" href="classshark_1_1_abstract_model.html#ac7edef74da55322b6aef0ba65b08592d">shark::AbstractModel&lt; InputTypeT, OutputTypeT, ParameterVectorType &gt;</a>, <a class="el" href="classshark_1_1_abstract_objective_function.html#a751c175270f6d6f0bcc1200f333c0045">shark::AbstractObjectiveFunction&lt; PointType, ResultT &gt;</a>, <a class="el" href="classshark_1_1_a_r_d_kernel_unconstrained.html#aed421511b861153b77d602b7440e526e">shark::ARDKernelUnconstrained&lt; InputType &gt;</a>, <a class="el" href="structshark_1_1benchmarks_1_1_ackley.html#af29a45fc5214e7df24f258050370f48d">shark::benchmarks::Ackley</a>, <a class="el" href="structshark_1_1benchmarks_1_1_cigar.html#aab19245fe266e461fdc72d6c0cf809b0">shark::benchmarks::Cigar</a>, <a class="el" href="classshark_1_1benchmarks_1_1_cigar_discus.html#a08c28c2dc2d89428b1882d5776e30ffe">shark::benchmarks::CigarDiscus</a>, <a class="el" href="structshark_1_1benchmarks_1_1_c_i_g_t_a_b1.html#af7d09d2566ec74aa08430d5526917c88">shark::benchmarks::CIGTAB1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_c_i_g_t_a_b2.html#a1d8d400184b46a67c3cfdbf4cf425303">shark::benchmarks::CIGTAB2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_constrained_sphere.html#a7192f76c0c697f67a672c35dcbc69c9f">shark::benchmarks::ConstrainedSphere</a>, <a class="el" href="structshark_1_1benchmarks_1_1_diff_powers.html#a8d065114748562d767411e4e3ed8b6a6">shark::benchmarks::DiffPowers</a>, <a class="el" href="structshark_1_1benchmarks_1_1_discus.html#a162bfacc710ced8f072e38e62251f449">shark::benchmarks::Discus</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z1.html#a13f21cea920296bc36398c0233d8cb10">shark::benchmarks::DTLZ1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z2.html#adfccd6983e3d97aa6dff155a39d3b96e">shark::benchmarks::DTLZ2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z3.html#a3ea75f4b76209277713ce8c7541fc782">shark::benchmarks::DTLZ3</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z4.html#a577e9511af80602a98f3ae9b93b3f0ce">shark::benchmarks::DTLZ4</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z5.html#a175b0de1fbf7761468281a42153fd11e">shark::benchmarks::DTLZ5</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z6.html#a85667643cf16c10f8dd8f907eecdc735">shark::benchmarks::DTLZ6</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z7.html#ab0caa54bb6167f4c36fc907373ba3562">shark::benchmarks::DTLZ7</a>, <a class="el" href="structshark_1_1benchmarks_1_1_e_l_l_i1.html#ad057f735d48694e4577bb3b664f5724b">shark::benchmarks::ELLI1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_e_l_l_i2.html#aaf079391316c77a65ed34c9b557665ba">shark::benchmarks::ELLI2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_ellipsoid.html#aef5c824d1950e8777d3a3f764fe60258">shark::benchmarks::Ellipsoid</a>, <a class="el" href="structshark_1_1benchmarks_1_1_fonseca.html#a2d635b3d70fe1fad575a4a9d9bf65a6b">shark::benchmarks::Fonseca</a>, <a class="el" href="structshark_1_1benchmarks_1_1_g_s_p.html#a10d5b471cd27155bbf91621fcdb0044b">shark::benchmarks::GSP</a>, <a class="el" href="structshark_1_1benchmarks_1_1_himmelblau.html#a0c91b82fa03768ae5c3aac9cee944013">shark::benchmarks::Himmelblau</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r1.html#a6f4db8d88b5604f9884d0d00635ae82b">shark::benchmarks::IHR1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r2.html#a26cb44d476ad02879012ba3394af9e84">shark::benchmarks::IHR2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r3.html#a2768160840bd165202d5fbc4c41f8354">shark::benchmarks::IHR3</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r4.html#aaf4d03780a4727d33afada0d107a6d6a">shark::benchmarks::IHR4</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r6.html#ac2eb5c42866cf96fb6410647b340e32d">shark::benchmarks::IHR6</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z1.html#ab3df9ff40d44b994c26b22f6c57d61cd">shark::benchmarks::LZ1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z2.html#ac3a3e0a29c605b03fcce8fc9b8519f49">shark::benchmarks::LZ2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z3.html#a92c8d6c2777e0d0c776094b4595fa27b">shark::benchmarks::LZ3</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z4.html#ac423359461f0098ca2882e0dc1fcd7fa">shark::benchmarks::LZ4</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z5.html#af772638898076f3dffb0bcc79e267881">shark::benchmarks::LZ5</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z6.html#a4b067d6c7303c98b06e077a983f50058">shark::benchmarks::LZ6</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z7.html#a6945e16e5b914f43fcc52e925e08b819">shark::benchmarks::LZ7</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z8.html#ab3f4159d33c9062993e75bd555806fb3">shark::benchmarks::LZ8</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z9.html#a41aec3ea071af00895eb7a3f8adbfc2c">shark::benchmarks::LZ9</a>, <a class="el" href="classshark_1_1benchmarks_1_1_markov_pole.html#a44b7ebcf26c033b499f3c22f941d7806">shark::benchmarks::MarkovPole&lt; 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LabelType &gt;</a>, <a class="el" href="classshark_1_1_classifier.html#a06babaf2a8d4022a2727f5654c9e9237">shark::Classifier&lt; Model &gt;</a>, <a class="el" href="classshark_1_1_clustering_model.html#acd41c1d0bfa8abb1efe5756b2cde9bd3">shark::ClusteringModel&lt; InputT, OutputT &gt;</a>, <a class="el" href="classshark_1_1_c_m_a_c_map.html#adb9b49636c80a28b5df84ea629e11702">shark::CMACMap</a>, <a class="el" href="classshark_1_1_combined_objective_function.html#a00efd5173a498cb625ef9d8523a1d6eb">shark::CombinedObjectiveFunction&lt; SearchPointType, ResultT &gt;</a>, <a class="el" href="classshark_1_1_concatenated_model.html#a4a48b011bd427db1132d92d3832529ff">shark::ConcatenatedModel&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_conv2_d_model.html#a8465955f88c4eeb452342583b2dcb3d3">shark::Conv2DModel&lt; VectorType, ActivationFunction &gt;</a>, <a class="el" href="classshark_1_1_cross_entropy_3_01blas_1_1vector_3_01_t_00_01_device_01_4_00_01blas_1_1vector_3_01_t_00_01_device_01_4_01_4.html#add4a2b4308ff290a10552824fdb33550">shark::CrossEntropy&lt; blas::vector&lt; T, Device &gt;, blas::vector&lt; T, Device &gt; &gt;</a>, <a class="el" href="classshark_1_1_cross_entropy_3_01unsigned_01int_00_01_output_type_01_4.html#a00c328589910ce17ecd13a57b59d6a4c">shark::CrossEntropy&lt; unsigned int, OutputType &gt;</a>, <a class="el" href="classshark_1_1_cross_validation_error.html#a8c37335d594fe383eeabcae364fa73a9">shark::CrossValidationError&lt; ModelTypeT, LabelTypeT &gt;</a>, <a class="el" href="classshark_1_1_discrete_kernel.html#a90793c8b9e5ff4988d58173d43970872">shark::DiscreteKernel</a>, <a class="el" href="classshark_1_1_discrete_loss.html#a4852a414feeed09857677ba5e101429a">shark::DiscreteLoss</a>, <a class="el" href="classshark_1_1_dropout_layer.html#af5f9f6f4a84a406ea1153de2e634531c">shark::DropoutLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_epsilon_hinge_loss.html#aebff1ddcb9f0ce35f93d29d8d6bd458c">shark::EpsilonHingeLoss</a>, <a class="el" href="classshark_1_1_error_function.html#a23d586d7201fa0c9db910e2d935f7dfe">shark::ErrorFunction&lt; 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InputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_linear_kernel.html#ad37361c49a4eaacffaf5e4a5c36f8d7b">shark::LinearKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_linear_model.html#a3a331290a6cb2840663d2178899366c8">shark::LinearModel&lt; InputType, ActivationFunction &gt;</a>, <a class="el" href="classshark_1_1_loo_error.html#af232bdbe9573aae2d81d9d574c331425">shark::LooError&lt; ModelTypeT, LabelType &gt;</a>, <a class="el" href="classshark_1_1_loo_error_c_svm.html#a7707d1eaf38cad24a585eb3f1bcc89d1">shark::LooErrorCSvm&lt; InputType, CacheType &gt;</a>, <a class="el" href="structshark_1_1_merge_budget_maintenance_strategy_3_01_real_vector_01_4_1_1_merging_problem_function.html#a0674c4dae609a1c36929fe77e6c871c8">shark::MergeBudgetMaintenanceStrategy&lt; RealVector &gt;::MergingProblemFunction</a>, <a class="el" href="classshark_1_1_missing_features_kernel_expansion.html#ad54351526ec5ab5370b56e5a6b5250ed">shark::MissingFeaturesKernelExpansion&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_model_kernel.html#a8a75d62077fbfeca56da4cab62fd15d9">shark::ModelKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_monomial_kernel.html#a0c72dc55c7aac6aa0399eae657f2a0cd">shark::MonomialKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_negative_a_u_c.html#a969990014ff8964d6e67fcf72318b02b">shark::NegativeAUC&lt; LabelType, OutputType &gt;</a>, <a class="el" href="classshark_1_1_negative_gaussian_process_evidence.html#a9c74a1a22f2496b879cc1683ee15bc86">shark::NegativeGaussianProcessEvidence&lt; InputType, OutputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_negative_log_likelihood.html#ab16ec2478fb6e4c863193554e5eb2047">shark::NegativeLogLikelihood</a>, <a class="el" href="classshark_1_1_negative_wilcoxon_mann_whitney_statistic.html#aa2f5af11ed9351eb339943a4a0ef2e38">shark::NegativeWilcoxonMannWhitneyStatistic&lt; LabelType, OutputType &gt;</a>, <a class="el" href="classshark_1_1_neuron_layer.html#a7f8d21763c3f72152b774f3288602474">shark::NeuronLayer&lt; NeuronType, VectorType &gt;</a>, <a class="el" href="classshark_1_1_normalized_kernel.html#aa6ff3743633aeb4bae2ccac7028cadb7">shark::NormalizedKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_normalizer.html#ac5be6bd6571bd6585a4e6d2ffefc6c89">shark::Normalizer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_one_norm_regularizer.html#a0c2ba523f8b14ff3c66bfb5d15421543">shark::OneNormRegularizer&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_one_versus_one_classifier.html#ac7edef74da55322b6aef0ba65b08592d">shark::OneVersusOneClassifier&lt; InputType, VectorType &gt;</a>, <a class="el" href="classshark_1_1_point_set_kernel.html#af582b3ac523870a401442b60cbb2cbf7">shark::PointSetKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_polynomial_kernel.html#a26c1a92f17f3a3cb153a1cf4dad1ac94">shark::PolynomialKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_pooling_layer.html#adb1f1ccede1793a08b2ce69a6e79e026">shark::PoolingLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_product_kernel.html#a96625b7eefde13ab0c7cc4f876988e8a">shark::ProductKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_radius_margin_quotient.html#ab089f14d5575c3a831d285992f80fcb1">shark::RadiusMarginQuotient&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_r_b_f_layer.html#ab37758750b8174cf1d93aa5e90eacef1">shark::RBFLayer</a>, <a class="el" href="classshark_1_1_r_b_m.html#a25713d2a3e7881d18fe7d767e0021da9">shark::RBM&lt; VisibleLayerT, HiddenLayerT, randomT &gt;</a>, <a class="el" href="classshark_1_1_resize_layer.html#a422e9b8b2a8b3d8c96e88ae413828faa">shark::ResizeLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_scaled_kernel.html#afc59d0d0d69706360cfd5b30bbd10a0e">shark::ScaledKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_soft_clustering_model.html#a347c88b0017a3c70725a3339061e1fac">shark::SoftClusteringModel&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_squared_epsilon_hinge_loss.html#a798597a7b89c708b0f5b271444841a9c">shark::SquaredEpsilonHingeLoss</a>, <a class="el" href="classshark_1_1_squared_hinge_loss.html#a65618ed172bb6452953fa8f113975881">shark::SquaredHingeLoss</a>, <a class="el" href="classshark_1_1_squared_loss.html#a008effb959fd46a659caea8c651529f6">shark::SquaredLoss&lt; 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InputType &gt;</a>, <a class="el" href="classshark_1_1_zero_one_loss.html#acba6670d53701d50eed0ecdbc1114175">shark::ZeroOneLoss&lt; LabelType, OutputType &gt;</a>, <a class="el" href="classshark_1_1_zero_one_loss_3_01unsigned_01int_00_01blas_1_1vector_3_01_float_01_4_01_4.html#ad29ef56602b3431b411320d95434a0ac">shark::ZeroOneLoss&lt; unsigned int, blas::vector&lt; Float &gt; &gt;</a></li>
<li>evalDerivative()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_loss.html#aaff8e4357ab4257d46025368575aac15">shark::AbstractLoss&lt; LabelT, OutputT &gt;</a>, <a class="el" href="classshark_1_1_abstract_objective_function.html#a53df2ac5d82c608ea938dc1e3a0c0617">shark::AbstractObjectiveFunction&lt; PointType, ResultT &gt;</a>, <a class="el" href="structshark_1_1benchmarks_1_1_cigar.html#ac9fdc7cf8b3914d66f9c3c032d14d95e">shark::benchmarks::Cigar</a>, <a class="el" href="structshark_1_1benchmarks_1_1_discus.html#a4f5200c7e8dae24f46b73337564992cc">shark::benchmarks::Discus</a>, <a class="el" href="structshark_1_1benchmarks_1_1_ellipsoid.html#aca3889c57e0adb5af1ac49bc38be9d78">shark::benchmarks::Ellipsoid</a>, <a class="el" href="classshark_1_1benchmarks_1_1_multi_objective_benchmark.html#a99fc595131c5c87ae6d73377c1b4368a">shark::benchmarks::MultiObjectiveBenchmark&lt; Objectives &gt;</a>, <a class="el" href="structshark_1_1benchmarks_1_1_rosenbrock.html#a2fec6001dddb00499e3929d2288b706c">shark::benchmarks::Rosenbrock</a>, <a class="el" href="structshark_1_1benchmarks_1_1_rotated_objective_function.html#a7454a4af99d7620038fd3970649ba561">shark::benchmarks::RotatedObjectiveFunction</a>, <a class="el" href="structshark_1_1benchmarks_1_1_sphere.html#a226c6e4e20b50e028829fa4898947b7c">shark::benchmarks::Sphere</a>, <a class="el" href="classshark_1_1_combined_objective_function.html#a58e685546d09fb3336ea42d20138197d">shark::CombinedObjectiveFunction&lt; SearchPointType, ResultT &gt;</a>, <a class="el" href="classshark_1_1_contrastive_divergence.html#a62d35d6d633fd3688fcfa2fe8926ad0d">shark::ContrastiveDivergence&lt; Operator &gt;</a>, <a class="el" href="classshark_1_1_cross_entropy_3_01blas_1_1vector_3_01_t_00_01_device_01_4_00_01blas_1_1vector_3_01_t_00_01_device_01_4_01_4.html#a739430aadeb820d28ac52bd36b9b62a8">shark::CrossEntropy&lt; blas::vector&lt; T, Device &gt;, blas::vector&lt; T, Device &gt; &gt;</a>, <a class="el" href="classshark_1_1_cross_entropy_3_01unsigned_01int_00_01_output_type_01_4.html#a960711d6a29da49c4eb53aaffc398ef8">shark::CrossEntropy&lt; unsigned int, OutputType &gt;</a>, <a class="el" href="classshark_1_1_epsilon_hinge_loss.html#a19cc6b04b744592c242c8ca2ac9eab0d">shark::EpsilonHingeLoss</a>, <a class="el" href="classshark_1_1_error_function.html#a4a037354234ee0898c8a77339c1477d6">shark::ErrorFunction&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_evaluation_archive.html#a8799c0f6863bd80086fb1db661432200">shark::EvaluationArchive&lt; PointType, ResultT &gt;</a>, <a class="el" href="classshark_1_1_exact_gradient.html#aef523213c55d8c9c6261abfe3c4c6bcf">shark::ExactGradient&lt; RBMType &gt;</a>, <a class="el" href="classshark_1_1_hinge_loss.html#ae8a772f849e11c33a20b281675b028dd">shark::HingeLoss</a>, <a class="el" href="classshark_1_1_huber_loss.html#afbe4794c082f6ec570a9eab8fb1f8b2a">shark::HuberLoss</a>, <a class="el" href="classshark_1_1_kernel_target_alignment.html#ad1f1d75eea4b7a91498a4b62972b4efb">shark::KernelTargetAlignment&lt; InputType, LabelType &gt;</a>, <a class="el" href="structshark_1_1_merge_budget_maintenance_strategy_3_01_real_vector_01_4_1_1_merging_problem_function.html#a065cb2154a49e6948f7d6a59cf2cd49c">shark::MergeBudgetMaintenanceStrategy&lt; RealVector &gt;::MergingProblemFunction</a>, <a class="el" href="classshark_1_1_multi_chain_approximator.html#acc8b9a5b1df621311dfc54ef5a70e2e4">shark::MultiChainApproximator&lt; MarkovChainType &gt;</a>, <a class="el" href="classshark_1_1_negative_gaussian_process_evidence.html#a4bbd89a9d2c47ecc601fb23567715b0d">shark::NegativeGaussianProcessEvidence&lt; InputType, OutputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_negative_log_likelihood.html#aa877cede0623b9d651f8385f9b611c82">shark::NegativeLogLikelihood</a>, <a class="el" href="classshark_1_1_one_norm_regularizer.html#a581251643a00888410ae6261b68005cb">shark::OneNormRegularizer&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_radius_margin_quotient.html#a61c0b73eaf10d43b9a1af891fc51dd5f">shark::RadiusMarginQuotient&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_single_chain_approximator.html#ae8a55add4de41e9c37141e14eda96fee">shark::SingleChainApproximator&lt; MarkovChainType &gt;</a>, <a class="el" href="classshark_1_1_squared_epsilon_hinge_loss.html#ab087f58c1d1c61a18897be4af91a8206">shark::SquaredEpsilonHingeLoss</a>, <a class="el" href="classshark_1_1_squared_hinge_loss.html#afb08d1f581fb2d539c2d98e2138ce916">shark::SquaredHingeLoss</a>, <a class="el" href="classshark_1_1_squared_loss.html#a5b0f3b5bc5125e81aa93dd9900863567">shark::SquaredLoss&lt; OutputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_squared_loss_3_01_output_type_00_01unsigned_01int_01_4.html#a6fe44728c4f9e28a4362c7c3374b1451">shark::SquaredLoss&lt; OutputType, unsigned int &gt;</a>, <a class="el" href="classshark_1_1_squared_loss_3_01_sequence_00_01_sequence_01_4.html#ac81ef3e0d96e4d1321235e8f843bf363">shark::SquaredLoss&lt; Sequence, Sequence &gt;</a>, <a class="el" href="classshark_1_1_svm_logistic_interpretation.html#aaf23373024f5c16cb6de60ee2c4fc2c8">shark::SvmLogisticInterpretation&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_two_norm_regularizer.html#aaf4f9c2f6dc7b1bf987e6078a3012b45">shark::TwoNormRegularizer&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_variational_autoencoder_error.html#a8b3b2f63448cb50dbcac630b10982341">shark::VariationalAutoencoderError&lt; SearchPointType &gt;</a></li>
<li>evalInPlace()&#160;:&#160;<a class="el" href="structshark_1_1_fast_sigmoid_neuron.html#a26b41bae981ea17bc21b050bd1294ae1">shark::FastSigmoidNeuron</a>, <a class="el" href="structshark_1_1_linear_neuron.html#a7498aabc6f6aded3be3d1b419a65f33d">shark::LinearNeuron</a>, <a class="el" href="structshark_1_1_logistic_neuron.html#a33ffb9cff12aa8ac45675d7561bbbbe2">shark::LogisticNeuron</a>, <a class="el" href="structshark_1_1_normalizer_neuron.html#adadc60eed4f45e390c03dab256dda69d">shark::NormalizerNeuron&lt; VectorType &gt;</a>, <a class="el" href="structshark_1_1_rectifier_neuron.html#a4e9454a3195b9d72861cc0f854d26f2d">shark::RectifierNeuron</a>, <a class="el" href="structshark_1_1_softmax_neuron.html#a2108ad138b296d05e270343ef296096c">shark::SoftmaxNeuron&lt; VectorType &gt;</a>, <a class="el" href="structshark_1_1_tanh_neuron.html#a9107cae5619ca79f8fac8a2370b07f81">shark::TanhNeuron</a></li>
<li>EvaluationArchive()&#160;:&#160;<a class="el" href="classshark_1_1_evaluation_archive.html#aa956ce92d2f105bc7d744519063b234d">shark::EvaluationArchive&lt; PointType, ResultT &gt;</a></li>
<li>evaluationCounter()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_objective_function.html#afaa9cc39ccb4d74a0d6db0ae2d087051">shark::AbstractObjectiveFunction&lt; PointType, ResultT &gt;</a></li>
<li>evaluationType()&#160;:&#160;<a class="el" href="classshark_1_1_r_b_m.html#ad94533d058118a9a0ba544b4c38d9517">shark::RBM&lt; VisibleLayerT, HiddenLayerT, randomT &gt;</a></li>
<li>evolutionPath()&#160;:&#160;<a class="el" href="classshark_1_1_c_m_a.html#ad70e86120d062d0a79b11e4830586655">shark::CMA</a>, <a class="el" href="classshark_1_1_l_m_c_m_a.html#aaab9999a4247ecfef8caa3d26045545a">shark::LMCMA</a>, <a class="el" href="classshark_1_1_v_d_c_m_a.html#a0dc57927069dfe99f09c788e6e6a1377">shark::VDCMA</a></li>
<li>evolutionPathSigma()&#160;:&#160;<a class="el" href="classshark_1_1_c_m_a.html#a441e3888a8ec95f696cc49bd5f3c5a36">shark::CMA</a>, <a class="el" href="classshark_1_1_v_d_c_m_a.html#a7e045148cdb4d8f928104da38a31be86">shark::VDCMA</a></li>
<li>ExactGradient()&#160;:&#160;<a class="el" href="classshark_1_1_exact_gradient.html#a866e9a502e3c7752eb1fa15e72919275">shark::ExactGradient&lt; RBMType &gt;</a></li>
<li>ExampleModifiedKernelMatrix()&#160;:&#160;<a class="el" href="classshark_1_1_example_modified_kernel_matrix.html#a11477f113015a5aa760ddbd930b7df2f">shark::ExampleModifiedKernelMatrix&lt; InputType, CacheType &gt;</a></li>
<li>Exception()&#160;:&#160;<a class="el" href="classshark_1_1_exception.html#a016e2dad37e8aac36d87f34cd943c0ec">shark::Exception</a></li>
<li>expectedParameterDerivative()&#160;:&#160;<a class="el" href="classshark_1_1_binary_layer.html#ae0a60ac025dea17ee48adaaf9dd47602">shark::BinaryLayer</a>, <a class="el" href="classshark_1_1_bipolar_layer.html#ac31d3fb6b638ebb0fae373a1d02705d6">shark::BipolarLayer</a>, <a class="el" href="classshark_1_1_gaussian_layer.html#a04bb5c1a6335d0d2b199804875c0ceb8">shark::GaussianLayer</a></li>
<li>expectedPhiValue()&#160;:&#160;<a class="el" href="classshark_1_1_binary_layer.html#a858d2d141b9b869c1ab132ae9fd28dd0">shark::BinaryLayer</a>, <a class="el" href="classshark_1_1_bipolar_layer.html#a4a01087ae0c8d5adb305c8683c23234b">shark::BipolarLayer</a>, <a class="el" href="classshark_1_1_gaussian_layer.html#a9d8d02a951be66e02b06e21c9b646ab8">shark::GaussianLayer</a></li>
<li>extractPopulationFitness()&#160;:&#160;<a class="el" href="structshark_1_1_reference_vector_guided_selection.html#aaca1139b4474117041edd70ecf33afa2">shark::ReferenceVectorGuidedSelection&lt; IndividualType &gt;</a></li>
</ul>
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